search for: dependsonpkgs

My bad. I know I've asked this some time back but I'm afraid I've lost the post along the way and am not having much luck searching the net. Don't want to pad my R setup with orphan packages. Is there a small snippet of code or even a single command that would allow me to check the packages I do use for their dependencies and then I can chuck those that don't turn up as wanted

Hi I want to create a dependence diagram of a subset of the packages on CRAN and would therefore like to read the DEACRIPTION files into a list. The list should be as follow for each package: - package name: list - Package: character - Version: character - Date: character - ... - Depends: character vector - Suggests: character vector - ... I downloaded all packages and extracted

The byte pixies have rolled up R-2.14.1.tar.gz (codename "December Snowflakes") at 9:00 this morning. This is a maintenance release; see the list below for details. You can get it from http://cran.r-project.org/src/base/R-2/R-2.14.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team

The byte pixies have rolled up R-2.14.1.tar.gz (codename "December Snowflakes") at 9:00 this morning. This is a maintenance release; see the list below for details. You can get it from http://cran.r-project.org/src/base/R-2/R-2.14.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team

I'm in the process of converting some S3 methods to S4 methods. I have this function : setGeneric("enrichmentCalc", function(rs, organism, seqLen, ...){standardGeneric("enrichmentCalc")}) setMethod("enrichmentCalc", c("GenomeDataList", "BSgenome"), function(rs, organism, seqLen, ...) { ... ... ... })

Hi, I am hoping someone can help me with a sampling question. I am using the following function to sample 10 unique observations: x <- sample(1:100, 10, replace=F) Given the first 10 observations, I need to sample another 5 unique observations from the remainder. I essentially want to do a Monte Carlo type analysis on the results. I would appreciate any feedback. Thanks -- View this

...object.size() now returns an object of class "object_size" and has a print() method. o [col/row]Sums(), *Means() now have an additional '...' argument, so that they can more easily be turned into generic functions. o Package 'tools' contains dependsOnPkgs() to compute reverse dependencies. o Strict type checking is now turned on: this catches more internal corruptions, and some badly written contributed code. o There are new functions in package 'tcltk', tk_choose.files(), tk_choose.dir() and tk_messageB...

...object.size() now returns an object of class "object_size" and has a print() method. o [col/row]Sums(), *Means() now have an additional '...' argument, so that they can more easily be turned into generic functions. o Package 'tools' contains dependsOnPkgs() to compute reverse dependencies. o Strict type checking is now turned on: this catches more internal corruptions, and some badly written contributed code. o There are new functions in package 'tcltk', tk_choose.files(), tk_choose.dir() and tk_messageB...